Open Position

Data Engineer

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Reference # 1113

Location: Hod Hasharon

Type: Full Time

Job Description:

AU10TIX, an identity management company headquartered in Israel, provides critical, modular solutions to link physical and digital identities so that companies and their customers can confidently connect. Over the last decade, AU10TIX has become the preferred partner for customer onboarding and customer verification automation and we continue to work on the edge of what’s next for the future of identity’s role in society. Our proprietary technology provides results in less than 8 seconds, allowing companies to onboard faster, prevent fraud, meet compliance mandates, and, importantly, establish trust with their customers. We recently announced an $80M investment from TPG and Oak ft/hc to fuel growth and innovation. AU10TIX is a subsidiary of ICTS International N.V. For more information, visit

We are seeking an experienced Data Engineer to join our Business Operation team to develop and maintain a robust platform of the data pipeline and data warehousing, that collects and aggregates millions of monthly events.

You will own a key area of AU10TIX data structure, responsible for collecting, integrating, and serving all aspects of data used internally for the business to keep growing.


  • End-to-end development of data models, from gathering the data sources, developing ETL processes, and developing front end data model solutions for users, helping our clients to make smarter decisions.
  • Building automated validation processes to ensure data integrity.
  • Optimizing processes run-time and solving problems in a scalable manner.
  • Design and develop end-to-end data pipelines, from data collection, through data validation and transformation, to make the data available to processes and stakeholders
  • Develop, manage and maintain our data warehouse model, access roles, audit logging, etc’
  • Find and improve bottlenecks in our high scale analytics
  • Work with Data Analytics team, Product Managers, R&D Team Leads and Customer Success Managers to frame problems within the business and product context


  • BSc/BA in Computer Science or related field

hands-on Experience (3+)

  • as a data engineer/big-data developer in a fast-paced environment
  • Azure cloud services and Technology –
  • Developing and Building Big Data Pipelines with ETL tools – DataFactory, Data bricks, synapse.
  • Design data models and define both logical and physical models.
  • Advanced SQL writing and optimizing queries knowledge, as well as some experience with NoSQL data platforms
  • at least one programming language Python, Scala, Java, etc.
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